Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project

Rostamnezhad, Mozhdeh, Nasirzadeh, Farnad, Khanzadi, Mostafa, Jarban, Mohammad Jafar and Ghayoumian, Masoud 2020, Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project, Engineering, Construction and Architectural Management, vol. 27, no. 7, pp. 1595-1618, doi: 10.1108/ECAM-01-2018-0031.

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Title Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project
Author(s) Rostamnezhad, Mozhdeh
Nasirzadeh, FarnadORCID iD for Nasirzadeh, Farnad orcid.org/0000-0003-0101-6322
Khanzadi, Mostafa
Jarban, Mohammad Jafar
Ghayoumian, Masoud
Journal name Engineering, Construction and Architectural Management
Volume number 27
Issue number 7
Start page 1595
End page 1618
Total pages 24
Publisher Emerald
Place of publication Bingley, Eng.
Publication date 2020
ISSN 0969-9988
1365-232X
Keyword(s) Science & Technology
Social Sciences
Technology
Engineering, Industrial
Engineering, Civil
Management
Engineering
Business & Economics
Fuzzy
DEMATEL
Modeling
Social sustainability
Sustainable development
System dynamics
INFRASTRUCTURE
DESIGN
Summary PurposeThis research aims to model the social dimension of sustainability in construction projects. A new hybrid system dynamic (SD)–fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is proposed to analyze the various factors affecting social aspect of sustainability taking into account their complex interactions.Design/methodology/approachThe various factors affecting the social dimension of sustainable development are identified based on the opinions of 12 experts with an extensive experience in highway construction projects and a thorough knowledge and/or professional experience in the sustainability area. The qualitative model of social sustainability is constructed using SD approach and the complex inter-related structure of the various influencing factors are modeled using cause and effect feedback loops. Fuzzy set theory is applied to model the uncertainty of human judgments. The importance of various influencing factors is then determined quantitatively taking account of their complex interactions using the proposed SD-fuzzy DEMATEL method. The most significant influencing factors are finally determined.FindingsTo evaluate the performance of the proposed method, it is implemented on a real highway project and the importance of various factors affecting the social sustainability is determined. A set of complex interrelated factors affecting social sustainability are divided into cause and effect groups, and the root causes affecting the social sustainability performance of the project are determined. Therefore, the required managerial actions can be taken to improve the social sustainability.Research limitations/implicationsWell-qualified experts with a well-developed mental model of social sustainability are necessary to provide required input data for modeling social sustainability using the proposed approach. The absence of such experts could be a limitation for the implementation of the proposed model on a new project.Practical implicationsThe proposed Hybrid SD-fuzzy DEMATEL method provides a practical and robust tool to analyze the various factors affecting social sustainability taking into account their complex interactions.Originality/valueThe proposed method offers a more precise and accurate analysis of various factors affecting social sustainability of construction projects since the complex inter-related structure of influencing factors as well as the vague and imprecise nature of experts' judgment is taken into account efficiently.
Language eng
DOI 10.1108/ECAM-01-2018-0031
Indigenous content off
Field of Research 0905 Civil Engineering
1202 Building
1503 Business and Management
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133148

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